The Chan Zuckerberg Initiative (CZI) supports several projects involving Asian single-cell genomics data with age-related metadata through its CELLxGENE Discover platform and affiliated research networks. Here are key resources:
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## **Asian Immune Diversity Atlas (AIDA)**
**Focus**: Immune cell variation across six Asian populations (Chinese, Japanese, Korean, Indian, Malay, Thai)[1][4].
**Methods**:
- Single-cell transcriptomics (5’ scRNA-seq)
- TCR/BCR profiling
- Enhancer RNA analysis
**Cohort**:
- Over 2,000 healthy individuals spanning 20 ancestrally diverse Asian groups
- Includes non-urban and underrepresented populations
- Analyzes effects of **age**, ancestry, sex, and environmental factors on immune phenotypes[4].
**Access**: Data will contribute to the Human Cell Atlas and likely integrate with CZ CELLxGENE Discover[1][4].
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## **CZ CELLxGENE Discover Platform**
**Key Features**:
- Hosts >85 million single cells from 1,317 datasets
- Includes metadata filters for **age**, cell type, and tissue[5][6].
- Tools for analysis, visualization, and AI model training
**Relevant Data**:
- Search using filters like `organism: Homo sapiens`, `tissue: blood`, and `ethnicity: Asian`
- Age metadata available for many datasets (e.g., developmental stages, adult vs. aging)[5][6][9].
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## **Billion Cells Project**
**Partners**: 10x Genomics, Ultima Genomics
**Scope**:
- Includes primary human cell models, potentially covering Asian cohorts
- Focuses on genetic perturbations across cell types and tissues[2][7].
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## **How to Access**
1. Visit [CZ CELLxGENE Discover](https://chanzuckerberg.github.io/cellxgene-census/)
2. Use the Census API or PyTorch loaders for large-scale analysis[6][9].
3. Filter datasets using variables like `donor_age` and `ethnicity`.
For AIDA-specific data, monitor updates via the [Human Cell Atlas-Asia network](https://chanzuckerberg.com/science/programs-resources/cell-science/ancestry-networks/)[1][4].
Citations:
[1] https://chanzuckerberg.com/science/programs-resources/cell-science/seednetworks/asian-immune-diversity-atlas/
[2] https://www.insideprecisionmedicine.com/topics/precision-medicine/chan-zuckerberg-initiative-10x-genomics-and-ultima-genomics-launch-billion-cells-project/
[3] https://chanzuckerberg.com/science/programs-resources/cell-science/seednetworks/
[4] https://chanzuckerberg.com/science/programs-resources/cell-science/ancestry-networks/immune-cell-atlas-of-asian-populations/
[5] https://www.nature.com/articles/d41586-024-01217-y
[6] https://chanzuckerberg.github.io/cellxgene-census/
[7] https://www.prnewswire.com/news-releases/chan-zuckerberg-initiative-launches-billion-cells-project-with-10x-genomics-and-ultima-genomics-to-advance-ai-in-biology-302369647.html
[8] https://www.genomeweb.com/genetic-research/chan-zuckerberg-initiative-launches-new-york-biohub-immune-cell-based-early
[9] https://www.biorxiv.org/content/10.1101/2023.10.30.563174v1.full.pdf
[10] https://www.science.org/doi/10.1126/science.abf1970
[11] https://www.science.org/doi/10.1126/science.abf3041
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Answer from Perplexity: pplx.ai/share
https://pmc.ncbi.nlm.nih.gov/articles/PMC9871912/
